Damásio, Bruno Miguel PintoPinheiro, Flávio Luís PortasJaneiro, Catarina da Cruz2025-11-132025-11-132025-10-30http://hdl.handle.net/10362/190656Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThis thesis aims to investigate the diffusion of Green Public Procurement in the Portuguese context using network science and panel data regression. Using data from Portal BASE platform from 2018 to 2023, a proximity network of services based on Revealed Comparative Advantage (RCA) is constructed. The study tests, for each company that has celebrated public contracts, whether services that are structurally close to already green services are more likely to adopt green practices over time. Afterwards, the objective is to analyze whether services structurally close to already green services exhibit higher green adoption rates in the future. Contrary to expectations, the results reveal a negative association between proximity to green services and future green adoption. Specifically, services located near green ones in the network are less likely to become green themselves unless they are associated with higher contract volumes, in which case a moderately positive effect emerges. This study contributes to the understanding of how service interdependencies influence the adoption of sustainable practices. It may also provide insights relevant to policies in terms of accelarating the green transition.engPublic ProcurementProduct SpaceOrdinary Least Squares (OLS)Green ProductsSDG 12 - Responsible production and consumptionmaster thesis204070686